Data processing method and device and robot

Abstract

The invention discloses a data processing method and device and a robot, and relates to the technical field of robots. In the embodiment of the invention, ultrasonic sensors and one laser sensor are arranged to obtain more surrounding environment information, and the obtained information is more accurate and reliable. When the method is used to determine barrier information in the surrounding, thebarrier position can be determined accurately, a barrier can be avoided accurately and effectively in a complex environment, a constructed environment map can express the surrounding more accurately,and real-time barrier avoidance and construction of the environment map can be realized at the same time.

Description

technical field [0001] The invention relates to the technical field of robots, in particular to a data processing method, device and robot. Background technique [0002] With the development of technology, various robots have emerged as the times require, and have been applied to various scenarios in life and work. The movement of the robot is generally based on a known environment map or a preset path to achieve walking, and when encountering obstacles, it needs to avoid obstacles to avoid damage to the robot itself and surrounding objects. Therefore, this requires the robot to be able to obtain surrounding environmental information, detect the location information of obstacles, and build an environmental map while realizing obstacle avoidance. [0003] In the current technology, the sensors used for robot obstacle avoidance or construction of environmental maps generally include: laser sensors, ultrasonic sensors and vision sensors; however, laser sensors can be used for ...

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Problems solved by technology

[0003] In the current technology, the sensors used for robot obstacle avoidance or construction of environmental maps generally include: laser sensors, ultrasonic sensors and vision sensors; however, laser sensors can be used for real-time obstacle avoidance and construction of environmental maps, but in Large sensing errors will appear in complex environments, reducing the effect of real-time obstacle avoidance

Although ultrasonic sensors are often used for real-time obstacle avoidance, they are rarely used in building environmental maps, and the effective sensing distance of ultrasonic sensors is short, making it difficult to achieve long-distance detection

Although visual sensors can be used to construct environmental maps, image detection technology is required when used for real-time obstacle avoidance, resulting in a large amount of calculation and complicated processing

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